语言大模型 / LLM

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments NeurIPS 2023 camera-ready

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts

专题命中 推理与问题求解 ：language model(title,abstract)；prompting(abstract)；分类 cs.CL、cs.AI、cs.LG

CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection

Jiajin Tang, Ge Zheng, Jingyi Yu, Sibei Yang

专题命中 推理与问题求解 ：prompting(title,abstract)；large language model(abstract)；language model(abstract)

Comments Accepted by ICCV 2023

March in Chat: Interactive Prompting for Remote Embodied Referring Expression

Yanyuan Qiao, Yuankai Qi, Zheng Yu, Jing Liu, Qi Wu

专题命中 推理与问题求解 ：prompting(title)；LLM(abstract)；large language model(abstract)；language model(abstract)

Comments Accepted by ICCV 2023

$A^2$Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models

Peihao Chen, Xinyu Sun, Hongyan Zhi, Runhao Zeng, Thomas H. Li, Gaowen Liu, Mingkui Tan, Chuang Gan

专题命中 推理与问题求解 ：foundation model(title,abstract)；large language model(abstract)；language model(abstract)

LLM Cognitive Judgements Differ From Human

Sotiris Lamprinidis

专题命中 推理与问题求解 ：LLM(title)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 7 pages, 1 figure. License changed to CC BY-NC-SA

CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?

Tianwen Wei, Jian Luan, Wei Liu, Shuang Dong, Bin Wang

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew Dai, Andrew La, Andrew Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, César Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodola, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocoń, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Şenel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ramírez Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima, Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu

专题命中 推理与问题求解 ：language model(title,abstract)；prompting(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench

Journal ref Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj

Commonsense Knowledge Transfer for Pre-trained Language Models

Wangchunshu Zhou, Ronan Le Bras, Yejin Choi

专题命中 推理与问题求解 ：language model(title,abstract)；foundation model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments ACL 2023 Findings

GPT4GEO: How a Language Model Sees the World's Geography

Jonathan Roberts, Timo Lüddecke, Sowmen Das, Kai Han, Samuel Albanie

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.AI、cs.LG

RARR: Researching and Revising What Language Models Say, Using Language Models

Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments ACL 2023

Code as Policies: Language Model Programs for Embodied Control

Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, Andy Zeng

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；prompting(abstract)

Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming

Hanlin Zhang, Jiani Huang, Ziyang Li, Mayur Naik, Eric Xing

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments ACL 2023 Findings

Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting

Marta Skreta, Naruki Yoshikawa, Sebastian Arellano-Rubach, Zhi Ji, Lasse Bjørn Kristensen, Kourosh Darvish, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg

专题命中 推理与问题求解 ：prompting(title,abstract)；large language model(abstract)；language model(abstract)

Specializing Smaller Language Models towards Multi-Step Reasoning

Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Preprint

Can Foundation Models Talk Causality?

Moritz Willig, Matej Zečević, Devendra Singh Dhami, Kristian Kersting

专题命中 推理与问题求解 ：foundation model(title,abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Main paper: 6 pages, References: 1.5 pages, Supplement: 11.5 pages. Main paper: 4 figures, Supplement: 3 figures, 8 tables

Inner Monologue: Embodied Reasoning through Planning with Language Models

Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Project website: https://innermonologue.github.io

Solving Quantitative Reasoning Problems with Language Models

Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, Vedant Misra

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 12 pages, 5 figures + references and appendices

Statistically Indistinguishable, Operationally Distinct: A Formal Barrier for Tabular Foundation Models

统计不可区分，操作上截然不同：表格基础模型的形式化障碍

Tassilo Klein, Johannes Hoffart

机构 * SAP SE（SAP公司） 纠错

专题命中 推理与问题求解 ：foundation model(title,abstract)；LLM(abstract)；分类 cs.AI、cs.LG

AI总结 本文提出操作图灵测试，证明仅基于值的表格模型无法区分合法与违规数据库状态，而操作审计特征可突破该障碍，揭示可识别性而非模型容量是根本限制。

Comments Accepted at the 2nd ICML Workshop on Foundation Models for Structured Data, 2026

Training-Free Dynamic Upcycling of Expert Language Models

无需训练的动态专家语言模型再利用

Eros Fanì, Oğuzhan Ersoy

机构 * Gensyn 纠错

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.LG；post-training(comments)

AI总结 本文提出DUME方法，通过动态添加不同领域训练的密集专家，构建统一的MoE模型，无需额外训练即可保持原有能力，在语言建模和推理任务中表现优异。

Comments Accepted at the ICLR 2026 Workshop on Scaling Post-training for LLMs

PediaMind-R1: A Temperament-Aware Language Model for Personalized Early Childhood Care Reasoning via Cognitive Modeling and Preference Alignment

PediaMind-R1: 一种基于气质的个性化婴幼儿护理推理语言模型：通过认知建模与偏好对齐

Zihe Zhang, Can Zhang, Yanheng Xu, Xin Hu, Jichao Leng

机构 * School of Future Information and Innovation, Fudan University（未来信息与创新学院，复旦大学） ； Corporate Research, Bosch (China) Investment Ltd.（博世（中国）投资有限公司研发部） 纠错

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.AI；LLM(comments)

AI总结 PediaMind-R1通过整合认知建模与偏好对齐，实现基于婴幼儿气质的个性化护理推理。

Comments Accepted at EMNLP 2025 PALS Workshop (PALS: EXPLORING ACTIVE AND PASSIVE LLM PERSONALIZATION)

REM: Evaluating LLM Embodied Spatial Reasoning through Multi-Frame Trajectories

REM：通过多帧轨迹评估大语言模型的具身空间推理

Jacob Thompson, Emiliano Garcia-Lopez, Yonatan Bisk

机构 * Department of Computer Science（计算机科学系） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 推理与问题求解 ：LLM(title)；language model(abstract,journal_ref)；large language model(abstract)；分类 cs.AI、cs.LG

AI总结 REM通过多帧轨迹评估大语言模型的空间推理能力，揭示其在复杂空间任务中的不足，推动更 robust 的空间表示研究。

Journal ref Proceedings of the Conference on Language Modeling (COLM 2025)

Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?

Anthony GX-Chen, Dongyan Lin, Mandana Samiei, Doina Precup, Blake A. Richards, Rob Fergus, Kenneth Marino

机构 * New York University（纽约大学） ； McGill University（麦吉尔大学） ； Mila - Quebec Artificial Intelligence Institute（魁北克人工智能研究所） ； CIFAR Learning in Machines and Brains Program（CIFAR 机器与大脑学习计划） ； The University of Utah（犹他大学） 纠错

专题命中 推理与问题求解 ：language agent(title)；language model(abstract,comments)；prompting(abstract)；分类 cs.CL、cs.AI

Comments Conference on Language Modelling (COLM) 2025, Camera Ready

Token-Efficient RL for LLM Reasoning

Alan Lee, Harry Tong

机构 * Department of Computer Science and Engineering, University of Michigan, Ann Arbor, USA（计算机科学与工程系，密歇根大学，安娜堡，美国） 纠错

专题命中 推理与问题求解 ：LLM(title,comments)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Comments Title updated to "Token-Efficient RL for LLM Reasoning" to better reflect algorithmic focus. Revised abstract, intro, and conclusion. Paper shortened and typos fixed

Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification

Peipei Wei, Dimitris Dimitriadis, Yan Xu, Mingwei Shen

专题命中 推理与问题求解 ：prompting(title,abstract)；LLM(abstract,comments)；分类 cs.CL、cs.AI

Comments To be published in AAAI 2025 Workshop on Advancing LLM-Based Multi-Agent Collaboration

VISTA: Visual Integrated System for Tailored Automation in Math Problem Generation Using LLM

Jeongwoo Lee, Kwangsuk Park, Jihyeon Park

专题命中 推理与问题求解 ：LLM(title)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted at NeurIPS 2024 Workshop on Large Foundation Models for Educational Assessment (FM-Assess)

Recognizing Artificial Minds: A Philosophical Defense of AI Cognition

识别人工心智：对AI认知的哲学辩护

Herman Cappelen, Josh Dever

专题命中 推理与问题求解 ：large language model(abstract,abstract_cn)；language model(abstract,abstract_cn)；LLM(abstract)；分类 cs.AI

AI总结 该研究为“全猪论题”辩护，主张LLMs是具备认知状态的成熟智能体，反驳相关质疑并推测其可能拥有人类概念体系外的内容。

Comments Pre-publication draft. Forthcoming as Open Access from Oxford University Press. Please cite the OUP version when available. Note title change: previously, "Going Whole Hog: A Philosophical Defence of AI Cognition"

SignalReasoner: Assessing the Upper Bound of 3B Models for Signal Mathematical Reasoning

SignalReasoner：评估3B模型在信号数学推理任务中的上限

Guozheng Sun

专题命中 推理与问题求解 ：SFT(abstract,abstract_cn)；large language model(abstract)；language model(abstract)；post-training(abstract)

AI总结 本研究针对信号数学推理任务，以Qwen2.5-3B-Base为对象，对比两种训练范式与三种强化优化算法，其最佳模型准确率较基准提升超两倍。

SheetCompass: Hierarchical Relation Graphs for Agentic Spreadsheet Reasoning

SheetCompass：面向智能体电子表格推理的分层关系图

Panjing He, Mingyue Cheng, Yucong Luo, Li Li, Xiaohan Zhang

机构 * University of Science and Technology of China（中国科学技术大学） 纠错

专题命中 推理与问题求解 ：LLM(summary_cn,abstract_cn)；large language model(abstract)；language model(abstract)；分类 cs.AI

AI总结 针对LLM处理电子表格时丢失多维结构语义的问题，提出SheetCompass框架，通过显式建模表内外结构关系并结合内存机制，提升智能体对复杂工作簿的推理能力。

Think Deep, Speak Once: Relit, A Recursive Latent Implicit Transformer Framework

深度思考，一次输出：ReLIT，一种递归隐式隐式Transformer框架

Abhishek Panwar, Maheep Singh, Saksham Bansal

机构 * Indian Institute of Technology Roorkee（鲁尔基印度理工学院） 纠错

专题命中 推理与问题求解 ：LLM(abstract,abstract_cn)；large language model(abstract)；language model(abstract)；prompting(abstract)

AI总结 该研究针对思维链提示计算开销大、微型递归模型语义连贯性差的问题，提出ReLIT框架，结合TinyLlama-1.1B骨干与可训练递归块，在逻辑推理基准上高效实现推理，性能优于或媲美更大模型。

Comments 14 pages, 6 figures